Handwriting Inpainting Dataset (doi:10.18419/darus-2886)

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Document Description

Citation

Title:

Handwriting Inpainting Dataset

Identification Number:

doi:10.18419/darus-2886

Distributor:

DaRUS

Date of Distribution:

2022-06-22

Version:

1

Bibliographic Citation:

Schmalfuss, Jenny; Scheurer, Erik; Zhao, Heng; Karantzas, Nikolaos; Bruhn, Andrés; Labate, Demetrio, 2022, "Handwriting Inpainting Dataset", https://doi.org/10.18419/darus-2886, DaRUS, V1

Study Description

Citation

Title:

Handwriting Inpainting Dataset

Identification Number:

doi:10.18419/darus-2886

Authoring Entity:

Schmalfuss, Jenny (University of Stuttgart)

Scheurer, Erik (University of Stuttgart)

Zhao, Heng (University of Houston)

Karantzas, Nikolaos (University of Houston)

Bruhn, Andrés (University of Stuttgart)

Labate, Demetrio (University of Houston)

Grant Number:

251654672

Grant Number:

251654672

Grant Number:

1720487

Grant Number:

1720452

Grant Number:

1720452

Distributor:

DaRUS

Access Authority:

Schmalfuss, Jenny

Depositor:

Schmalfuss, Jenny

Date of Deposit:

2022-05-20

Holdings Information:

https://doi.org/10.18419/darus-2886

Study Scope

Keywords:

Computer and Information Science, Inpainting

Abstract:

<p>The dataset contains binary handwriting masks, which are sampled from scanned pages. Based on the overlay size, the training and test datasets are divided into five size ranges: 0-5%, 5-10%, 10-15%, 15-20% and 20-25% of the image.</p>

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

Label:

Mask_Dataset.zip

Text:

Contains test and training dataset splits with handwiting masks. The test folder contains the subfolders test00, test05, test10, test15 and test20, with 1000, 1000, 1000, 1000 and 100 masks for the test dataset, respectively. The train folder contains the subfolders train00, train05, train10, train15 and train20, with 100.000, 100.000, 10.000, 10.000 and 1.000 masks for the training dataset, respectively. Per folder, the masks are named with consecutive numbers, followed by _m.png.

Notes:

application/zip